How can you query for notable events in Splunk ES?

Using SPL (Search Processing Language) commands to filter and identify specific threats is the correct approach for querying notable events in Splunk Enterprise Security (ES). SPL is a powerful language specifically designed for searching, analyzing, and visualizing machine-generated data. It allows users to construct queries that can efficiently sift through large volumes of data to find significant events or anomalies that could represent security threats.

SPL commands are designed to leverage the indexing structure of Splunk, enabling users to perform complex data manipulations such as filtering results based on certain criteria, joining datasets, and summarizing data. This capability is crucial for security teams to quickly identify notable events, as it helps to pinpoint relevant alerts and incidents that require immediate attention.

The other options do not effectively align with the practices of querying notable events in Splunk ES. Utilizing SQL queries is not compatible with Splunk, which is specifically built around SPL for data querying. Generating random reports lacks a systematic approach and does not provide targeted insights into notable events. Additionally, manually scanning logs is inefficient and impractical for the volume of data typically handled in enterprise environments, which Splunk is designed to analyze automatically and in real time.